How a Dallas Financial Services Firm Built a 12-Month AI Roadmap and Avoided $180K in Wrong-Fit Technology Spend
The Problem
This mid-size RIA was under pressure from clients and competitors to modernize. The leadership team had seen demos from six different AI vendors — each promising transformation — but had no internal framework to evaluate what was real, what was relevant, and what was risky. Two departments had already purchased point solutions independently, creating compliance concerns and data silos. The firm needed a strategy before spending another dollar on technology.
AI Audit
3 weeks
We conducted a comprehensive AI Readiness Assessment across all departments — advisory, operations, compliance, and client services. This included stakeholder interviews with 14 team members, a technology stack audit, a data infrastructure review, and a regulatory risk analysis specific to SEC and FINRA requirements.
Custom Build
4 weeks
We delivered a complete AI strategy package designed to give leadership a clear, prioritized path forward — with guardrails for compliance.
AI Readiness Scorecard
A department-by-department assessment scoring data readiness, process maturity, team capability, and compliance risk on a 1-5 scale. The firm scored 2.1 overall — below the threshold for most enterprise AI tools they had been evaluating, which reframed the entire conversation.
12-month prioritized AI roadmap
A phased implementation plan with three horizons: foundation (data cleanup, policy creation, quick wins), acceleration (targeted automation of 4 high-ROI workflows), and scale (client-facing AI features). Each phase included budget estimates, resource requirements, and success metrics.
Vendor evaluation framework
A weighted scoring matrix customized for financial services — evaluating AI vendors on data security, compliance auditability, integration capability, and total cost of ownership. Applied retroactively to the two tools already purchased, resulting in one being sunset and replaced.
AI governance policy
A complete internal policy covering acceptable use of AI tools, client data handling, model output review requirements, and documentation standards. Designed to satisfy SEC examination expectations and reviewed by the firm's compliance counsel.
Executive and team training program
A 3-session training series: one for the leadership team (strategic decision-making with AI), one for advisors (AI-assisted research and client communication), and one for operations staff (practical AI tools for daily workflows). Delivered with firm-specific examples and recorded for onboarding.
The Results
| Metric | Before | After |
|---|---|---|
| AI readiness score | 2.1 / 5 (unassessed) | Baselined with clear improvement targets |
| Vendor spend avoided | 3 additional tools under evaluation ($180K) | 2 deferred, 1 existing tool replaced |
| Time to first AI implementation | Undefined (stalled by analysis paralysis) | Phase 1 quick wins live in 6 weeks |
| Compliance incidents from AI tools | 2 flagged in internal audit | 0 (governance policy in place) |
| Team AI literacy (self-assessed) | 22% comfortable using AI tools | 74% after training program |
“We were about to sign a $95K annual contract with a vendor whose tool we were not even ready to use. The readiness assessment saved us from an expensive mistake and gave us an actual plan. For the first time, our leadership team is aligned on what AI means for this firm.”
— Chief Operating Officer
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